off-policy learning

Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Cooperative Heterogeneous Deep Reinforcement Learning NeurIPS 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020 Data-Driven Market-Making via Model-Free Learning IJCAI 2020 Deep Conservative Policy Iteration AAAI 2020 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020 Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 Generalized Hindsight for Reinforcement Learning NeurIPS 2020 Imitation Learning via Off-Policy Distribution Matching ICLR 2020 Importance Sampling Techniques for Policy Optimization JMLR 2020 Improving Generalization in Meta Reinforcement Learning using Learned Objectives ICLR 2020 Learning Dexterous Manipulation from Suboptimal Experts CoRL 2020 Meta-Q-Learning ICLR 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Imitation Learning from Observations NeurIPS 2020